Data & Analytics Senior Consultant - job 2 of 2

As a Data & Analytics Senior Consultant at Datacom, you will lead the technical delivery of large-scale data platforms and business intelligence solutions. Your duties will include engaging with clients to understand their needs, orchestrating workshops, and contributing to technical architecture while ensuring high-quality implementation of data solutions. You'll also enhance data integration recommendations and perform vital documentation and user training.

To thrive as a Data & Analytics Senior Consultant at Datacom, you should possess excellent consultation and stakeholder management skills, advanced knowledge of Azure, Snowflake, and data modeling techniques, alongside expertise in ETL processes. Your background should include significant experience in designing modern data platforms and proficiency in tools like Power BI for visualization and reporting.

Applicants for the Data & Analytics Senior Consultant position should have a Bachelor's degree in Computer Science or a related discipline, as well as certifications in Snowpro, Coalesce, or Microsoft Azure/Fabric data engineering. A minimum of 7+ years in EDW design and implementation, along with substantial experience in ETL architecting and data modeling, is also essential.

At Datacom, as a Data & Analytics Senior Consultant, you'll find a dynamic work environment filled with a close-knit and fun team of data enthusiasts. We foster a culture of trust, respect, and collaboration, where each member's contributions are recognized, and individual development is prioritized, ensuring you have the support to grow your career effectively.

Datacom is committed to the professional growth of its employees. As a Data & Analytics Senior Consultant, you will have access to tailored training and development initiatives that can help propel your career forward. With opportunities for leadership roles and involvement in various innovative projects, your pathway to advancement is well-supported here.

When answering this question, detail the projects you've worked on, the technologies involved, and your specific contributions. Highlight any challenges you faced and how you overcame them, illustrating your problem-solving skills.

Discuss your strategies for engagement, such as conducting workshops, gathering feedback, and maintaining open communication channels. Provide examples of successful interactions that led to project progress.

Describe your familiarity with various data modeling tools and how their functionalities align with project requirements. Mention any specific tools you’ve leveraged and the results achieved.

Explain the methodologies you use for performance tuning, including your experience with indexing, partitioning, and query optimization techniques. Share any measurable outcomes from your past tuning efforts.

Choose a project where you faced significant challenges, then explain the steps you took to address them and the final results. This showcases your analytical and problem-solving skills.

Discuss the ETL tools you have worked with, highlighting their strengths and weaknesses. Provide specifics about how these tools facilitated your workflows and any best practices you've developed.

Share the methods you pursue for continuous learning, such as attending conferences, taking online courses, or engaging in professional communities. This reflects your dedication to professional growth.

Outline how you ensure documentation is clear and accessible, including your approach to maintaining up-to-date records and training materials. Effective documentation is critical in data-related roles.

Discuss how the semantic layer simplifies user interactions with complex data structures, promotes consistency in reporting, and empowers users to generate insights. Specific examples can enhance your answer.

Focus on key performance indicators you set for evaluating success, such as adoption rates, stakeholder feedback, or performance metrics. This shows you monitor and strive to enhance the solutions you deliver.